Add/update the quantized ONNX model files and README.md for Transformers.js v3

## Applied Quantizations

### ✅ Based on `model.onnx` *with* slimming

↳ ✅ `q4f16`: `model_q4f16.onnx` (added)

### ✅ Based on `model.onnx` *with* slimming

↳ ✅ `q4f16`: `model_q4f16.onnx` (added)

README.md

@@ -7,15 +7,15 @@ https://huggingface.co/facebook/wav2vec2-base-960h with ONNX weights to be compa
 
 ## Usage (Transformers.js)
 
-If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@xenova/transformers) using:
+If you haven't already, you can install the [Transformers.js](https://huggingface.co/docs/transformers.js) JavaScript library from [NPM](https://www.npmjs.com/package/@huggingface/transformers) using:
 ```bash
-npm i @xenova/transformers
+npm i @huggingface/transformers
 ```
 
 You can then use the model for speech recognition with:
 
 ```js
-import { pipeline } from '@xenova/transformers';
+import { pipeline } from '@huggingface/transformers';
 
 // Create an Automatic Speech Recognition pipeline
 const transcriber = await pipeline('automatic-speech-recognition', 'Xenova/wav2vec2-base-960h');

onnx/model_q4f16.onnx

@@ -0,0 +1,3 @@
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+oid sha256:d5a7a3e9f32bdb9cca98404fa006d6e4bafae233c3f3171aacbc7a34e90d5f28
+size 66469883